Mouse FVII _ Factor VII _ F7 Protein
- Known as:
- Mouse FVII _ Factor VII _ F7 Protein
- Catalog number:
- 10312-M01C
- Product Quantity:
- 20μg
- Category:
- -
- Supplier:
- Provo
- Gene target:
- Mouse FVII _ Factor VII F7 Protein
Ask about this productRelated genes to: Mouse FVII _ Factor VII _ F7 Protein
- Gene:
- F8 NIH gene
- Name:
- coagulation factor VIII
- Previous symbol:
- F8C
- Synonyms:
- FVIII, DXS1253E, HEMA
- Chromosome:
- Xq28
- Locus Type:
- gene with protein product
- Date approved:
- 2001-06-22
- Date modifiied:
- 2019-04-23
Related products to: Mouse FVII _ Factor VII _ F7 Protein
Related articles to: Mouse FVII _ Factor VII _ F7 Protein
- Electroencephalography (EEG)-based depression classification requires interpretable machine-learning approaches and validation strategies that avoid subject-level information leakage. This single-center pilot study developed and internally evaluated a marker-based interpretable machine-learning framework using eight-channel resting-state EEG. After quality control, 48 participants were included, comprising 23 clinician-diagnosed major depressive disorder (MDD) patients recruited at Zhejiang Provincial Tongde Hospital and 25 healthy controls (HCs). Subject-level spectral, entropy/complexity, asymmetry, and coherence-based connectivity features were extracted from pre-processed EEG epochs. Exploratory feature analysis was used to define a three-component EEG marker comprising fronto-posterior beta- and gamma-band coherence heterogeneity and F8-F7 beta-band asymmetry variability. The resulting marker was evaluated using classical classifiers under strict subject-wise leave-one-subject-out validation and compared with EEGNet and 1D-CNN baselines under the same subject-wise protocol. Among the evaluated classical models, RBF-SVM achieved the highest subject-level discrimination in the primary native-reference 2-s analysis, with an AUC of 0.910, accuracy of 85.42%, sensitivity of 82.61%, and specificity of 88.00%. The primary result used the native A1/A2 acquisition reference and non-overlapping 2-s epochs, consistent with segmentation used in previous resting-state EEG depression studies. SHAP analysis indicated that fronto-posterior gamma-band coherence heterogeneity and F8-F7 beta-band asymmetry variability were the dominant contributors to the RBF-SVM decision function. These findings support the exploratory value of compact EEG markers for interpretable internal discrimination in data-limited eight-channel settings and motivate validation in independent external cohorts. - Source: PubMed
Publication date: 2026/08/05
Zhang HaishengKan JingTong WeiWu BichengZhao YeMa Yongchun - Although discrimination against individuals with higher body weights is prevalent both within and outside the United States, research has largely overlooked how cultural norms and gender shape the experiences of those individuals. While cross-cultural work on anti-fat attitudes has examined variations in the Negative Cultural Value of Fat (NCF), how perceptions of NCF and Perceived Weight Discrimination (PWD) jointly affect well-being among individuals with higher weights across different countries has not been examined. The present study focused on participants who self-identified as overweight, hypothesizing larger gender disparities in well-being in Portugal and Mexico than in the United States, partly due to higher PWD and NCF among women. - Source: PubMed
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Vieira Zaidan Ana ClaraWellman Joseph D - Fatigue is a critical factor contributing to operational errors, traffic accidents, and psychological disorders. A major challenge in current fatigue detection lies in the difficulty of clearly identifying fatigue-related neural channels in the brain, which hinders the accurate extraction of effective features from high-dimensional electroencephalography (EEG) signals. - Source: PubMed
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